Advanced Face Detection using Machine Learning And AI-based Algorithm
Sakshi Sandeep Phatak, Harshvardhan Sangram Patil, Muhammad Waqas Arshad, Bhagatsing Jitkar, Sangram Patil, Jaydeep Patil
Abstract
In this study, the analysis of the research that has been provided in the “Advanced Face Detection using Machine Learning And AI-based algorithms”. It is a facial acknowledgment framework that utilizes AI and Machine learning. It specifically uses the Support Vector Machine (SVM) system. Modern-day technology is making people amazed with the innovations that it is providing to make an individual’s life simpler and easier. In the case of Face Recognition, it has proven to be the least intrusive and also the fastest form of the biometric verification system. Among all the tasks that can be done with the help of machine learning algorithms, one of the most crucial computer vision tasks is the use of face detection and recognition. The face detection and the recognition systems are both related to each other yet they are also very different from one another as well. By using machine learning the face detection aspect is used and it also is a widespread aspect of the face recognition system. Machine learning applies various algorithms for the detection of faces and the recognition process as well. Face detection and recognition systems are used in medical diagnosis and also in the deep analysis of human faces in the video for various intelligence purposes. Face recognition is a sub-category system of the biometric software system, it is used to map an individual’s facial features and also to store that data as a face print for future purposes.